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marcos gabriel

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liked a model 15 days ago
fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA
reacted to OzTianlu's post with 🤗 21 days ago
Scaling UP in Kai! 🌊 https://huggingface.co/NoesisLab/Kai-3B-Instruct Introducing NoesisLab/Kai-3B-Instruct What happens when you force a 3B model to reason entirely in its latent space ? Meet Kai-3B, our latest industrial-grade reasoning model fine-tuned using the Adaptive Dual Search (ADS) algorithm. GSM8K (0-shot, Direct Answer): 39.27% 🤯 (Llama-2-7B is ~14.6%) HumanEval (Pass@1): 39.02% 💻 (Overtakes Gemma-2-2B's 30%) MMLU (5-shot): 53.62% 📚 (Crushing the 50% barrier) ARC-Challenge: 51.88%🎯 PIQA: 77.53% HellaSwag: 69.53% Kai-3B proves that reasoning density doesn't strictly require parameter bloat or verbose generation. It acts as a perfect, cold-blooded Agent action-engine—ideal for JSON routing, SWE-bench patch generation, and anywhere you need absolute structured certainty without token waste.
reacted to OzTianlu's post with 🔥 21 days ago
Scaling UP in Kai! 🌊 https://huggingface.co/NoesisLab/Kai-3B-Instruct Introducing NoesisLab/Kai-3B-Instruct What happens when you force a 3B model to reason entirely in its latent space ? Meet Kai-3B, our latest industrial-grade reasoning model fine-tuned using the Adaptive Dual Search (ADS) algorithm. GSM8K (0-shot, Direct Answer): 39.27% 🤯 (Llama-2-7B is ~14.6%) HumanEval (Pass@1): 39.02% 💻 (Overtakes Gemma-2-2B's 30%) MMLU (5-shot): 53.62% 📚 (Crushing the 50% barrier) ARC-Challenge: 51.88%🎯 PIQA: 77.53% HellaSwag: 69.53% Kai-3B proves that reasoning density doesn't strictly require parameter bloat or verbose generation. It acts as a perfect, cold-blooded Agent action-engine—ideal for JSON routing, SWE-bench patch generation, and anywhere you need absolute structured certainty without token waste.
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